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AI-Enabled Engineering for

Regulations & Compliance

Compliance never gets to be approximately right. We bring generative and agentic AI to regulatory work with every rule versioned, every answer cited and every change caught before its deadline, engineered with CMMI Level 5 discipline.

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CMMI Level 5 Appraised ISO 27001:2022 SOC 1 & SOC 2 Type 2 Human-in-the-Loop AI
RegTech & Compliance Platforms
Products built on rules, change and training
Compliance & Risk Teams
Monitoring, analysis, training and audit
Regulated Enterprises
Rules automation and compliant operations
Six problems compliance leaders bring us most
Every area below is delivered as a working system in your environment, with versioning, citations and audit trails designed in from the first sprint, because in this work the evidence is the product.

Change detected across a hundred-plus sources, diffed, versioned and mapped to impact, with alerts arriving before deadlines.

  • 100+ regulatory sources tracked continuously
  • Changes diffed, versioned and logged
  • Impact mapping and alerts before deadlines

One governed home for every rule that applies to you: structured plus vector, versioned, and built for AI and auditors alike.

  • Rules library architecture, structured plus vector
  • Version history on every rule
  • Retrieval-ready for cited answers

Policy documents parsed into working, schema-compliant rules by agents, with your experts approving instead of transcribing.

  • Policy parsing and rule extraction agents
  • Schema-compliant rule generation
  • SME review and approval checkpoints

Courses and assessments generated from the rules themselves, refreshing automatically as regulations change.

  • Agentic course and assessment generation
  • Content grounded and cited from the rules library
  • Automatic refresh as regulations change

Heavily manual compliance workflows automated end to end by agents, with exceptions routed to people.

  • Data extraction and template mapping at scale
  • Agents orchestrating end-to-end workflows
  • Exception routing to human reviewers

Assistants that answer from the rules library with citations and version history, so audit prep becomes a query, not a quarter.

  • Copilots grounded in the rules library
  • Cited answers with version trails
  • Evidence packs assembled on demand
Proof from inside the rulebook
Anonymized engagements, labeled honestly: outcomes marked (target) are the agreed goals of a transformation now in build; everything else comes from production. Client names protected under NDA.

Regulatory Intelligence· RegTech · Rules Library and Reg-Change Platform

The Challenge

  • No internal store of federal and state rules
  • Regulatory change tracked manually, after the fact
  • Costly reliance on third-party software

Our Approach

  • A canonical rules library, structured plus vector
  • 100+ sources tracked, changes diffed and versioned
  • Impact mapped with alerts before deadlines

Outcomes

50 to 70% reduction
in review and analysis effort (target)
Seven-figure annual
license cost targeted for replacement
New proactive services
impractical at manual scale (target)

Compliance Training· RegTech · Compliance Course Co-Pilot

The Challenge

  • Manual creation of courses and assessments
  • Slow to produce, business-critical output
  • Courses must update as regulations change

Our Approach

  • Agentic course generation on the catalog
  • Assessments auto-created alongside courses
  • Answers grounded and cited from the rules library
  • Courses refresh automatically as rules change

Outcomes

40 to 60%
less manual drafting effort (target)
3X
faster compliance course creation (target)
About half the staff
for the same throughput (target)

Rules Automation · Delivered in Payment Integrity · Agentic Insurance Rules Engine

The Challenge

  • Lengthy, complex and abstract policy documents
  • Manual SME interpretation of every policy
  • Slow mapping of rules to operational codes
  • Onboarding measured in months

Our Approach

  • A rule agent parsing policy into coverage and rules
  • A code agent generating schema-compliant rules
  • Reviewer agents with humans in the loop
  • Platform-native build on a managed cloud AI stack

Outcomes

Onboarding from
6 months to 1
30%
reduction in operational cost
40%
reduction in SME effort
4X
faster policy deployment
Built for the discipline of being exactly right
Regulatory work is where almost right is wrong. Our delivery model was built for exactly that standard.
01

Production-Grade Delivery

CMMI Level 5 process maturity, ISO 27001 and SOC-aligned controls run through every engagement by default.
02

Human in the Loop, Always

Agents draft, extract and propose. Your SMEs and reviewers approve. Nothing reaches production on model confidence alone.
03

Auditability as a Design Input

Versions, diffs and citations are designed in from the first sprint, so every answer can show its work to a regulator.
04

Production, Not Pilots

The systems in the journeys above run daily operations for live clients today. Working software is our standard, not the pilot.
The short version of how we engage
Four phases, one continuous journey. The path advances on its own; click any phase to explore what happens there and what you keep.

Discover

One high-impact compliance use case, chosen with your teams, with a value case leadership can sign.

Design

Architecture, data readiness and responsible AI guardrails agreed before production code.

Build

Working software in your environment, with evaluation and security from sprint one.

Run & Scale

Production rollout, adoption support and a prioritized queue of next use cases.
See the full interactive roadmap on our homepage
The regulator-ready conversation, up front
The questions every compliance, audit and risk leader raises in the first meeting, answered before the first meeting.

As current as its sources: change monitoring tracks them continuously, and every rule carries version history showing exactly when and how it changed.

Interpretation stays human. The system retrieves, cites and drafts; your compliance experts approve, and the record shows who did.

Versions, diffs, citations and approvals: the evidence trail is a feature of the system, not a document hunt before the visit.

By adding sources: the library architecture absorbs new federal, state or market rules without rebuilding what already exists.

You can reconstruct it end to end: the sources it drew from, the rule version in force at the time, and the person who approved it.

Bring versioned, cited AI to your regulatory and compliance operations
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